shuzizaibo

说明：  这是一本关于系统辨识很好的书本，对初学者很有帮助，是由我们学校长江学者编著的，外面都没有，拿出来分享(This is a very good book on system identification, very helpful for beginners, is edited by our school Changjiang Scholars, and the outside did not work out to share)

用广义最小二乘法辨识气动实验系统的参数，并采用最终误差预报估计模型阶次(Generalized Least Squares Identification of aerodynamic parameters of experimental system, using the final prediction error of the estimated model order)

信道容量的迭代算法,使信道能够无失真地传输信源数据(Channel capacity iterative algorithm,so that the channel can be transmitted without distortion source data)

目前己存在许多优化算法用来解决该问题，但不少算法都存在一定局限性，如当算法的约束条件较多时，很难求解复杂环境的路径规划问题等。本文根据机器人路径规划算法的研究现状和向智能化、仿生化发展的趋势，研究了一种基于改进蚁群算法的机器人全局路径规划方法。 (At present, there are many optimization algorithm has been used to solve the problem, many algorithms have certain limitations exist, such as when the algorithm is more restrictive conditions, it is hard to solve complex environmental problems such as path planning. Based Robot Path Planning Algorithm for the status quo and to the intelligence, the development of bionic trends, research which is based on ant colony algorithm to improve robot global path planning method.)

振动理论中的中心差分法求解单自由度问题，希望对大家有帮助(Vibration theory of central difference method to solve the problem of a single degree of freedom, we want to help)

根据多智能体一致性理论，通过多智能体系统的拓扑结构定义了邻接矩阵，控制系统内多个智能体从分散的初始位置最后达到一个确定队形的编队运动。(Based on multi-agent theory, the adjacency matrix is defined by the topology of multi-agent systems, multiple agent control system from dispersed initial position last reached a certain formation formation movement.)

有关心电去噪处理的论文，不错的文章，写的很仔细(Are concerned about the power denoising papers, good article, very carefully written)

高斯脉冲在光纤中的演变，用MATLAB程序实现(gaussian pulse evolution)

MATLAB程序开发经典英文教程，帮助开发人员更好的利用MATLAB开发。(MATLAB Programming classic English tutorial to help developers better use MATLAB development.)

We present in this paper a new method for blind source separation which is adapted to the case where the sources have different morphologies. We show that the morphology diversity concept leads to a new and very efficient method, even in the presence of noise.